Houston Colleges Boost Minority Participation in STEM Fields

2021 ◽  
2012 ◽  
Author(s):  
Faye J. Crosby ◽  
Margaret S. Stockdale
Keyword(s):  

1977 ◽  
Author(s):  
David Beaty ◽  
Madison Holloway ◽  
Dennis Quintana ◽  
Susan Quintana

2014 ◽  
Author(s):  
Nikki A. Falk ◽  
Caitlin G. Wood ◽  
Tracy N. Casanova ◽  
Patrick J. Rottinghaus ◽  
Fred H. Borgen ◽  
...  
Keyword(s):  

2012 ◽  
Vol 5 (2) ◽  
pp. 153-174
Author(s):  
Christina D. Weber ◽  
Angie Hodge

Using dialogues with our informants, as well as with each other, we explore how the men and women in our research make it through their mathematics coursework and, in turn, pursue their intended majors. Our research focuses on how students navigate what we call the gendered math path and how that path conforms to and diverges from traditional gender norms. Common themes of women's lower than men's self-perception of their ability to do mathematics, along with the divergent processes of doing gender that emerged in men's and women's discussions of their application of mathematics, reminded us of the continued struggles that women have to succeed in male-dominated academic disciplines. Although self-perception helps us understand why there are fewer women in STEM fields, it is important to understand how different forms of application of ideas might add to the diversity of what it means to do good science.


2021 ◽  
Vol 13 (4) ◽  
pp. 1671
Author(s):  
Maura A. E. Pilotti

In many societies across the globe, females are still underrepresented in science, technology, engineering, and math (STEM fields), although they are reported to have higher grades in high school and college than males. The present study was guided by the assumption that the sustainability of higher education critically rests on the academic success of both male and female students under conditions of equitable educational options, practices, and contents. It first assessed the persistence of familiar patterns of gender bias (e.g., do competencies at enrollment, serving as academic precursors, and academic performance favor females?) in college students of a society in transition from a gender-segregated workforce with marked gender inequalities to one whose aims at integrating into the global economy demand that women pursue once forbidden careers thought to be the exclusive domain of men. It then examined how simple indices of academic readiness, as well as preferences for fields fitting traditional gender roles, could predict attainment of key competencies and motivation to graduate (as measured by the average number of credits completed per year) in college. As expected, females had a higher high school GPA. Once in college, they were underrepresented in a major that fitted traditional gender roles (interior design) and over-represented in one that did not fit (business). Female students’ performance and motivation to graduate did not differ between the male-suited major of business and the female-suited major of interior design. Male students’ performance and motivation to graduate were higher in engineering than in business, albeit both majors were gender-role consistent. Although high school GPA and English proficiency scores predicted performance and motivation for all, preference for engineering over business also predicted males’ performance and motivation. These findings offered a more complex picture of patterns of gender bias, thereby inspiring the implementation of targeted educational interventions to improve females’ motivation for and enrollment in STEM fields, nowadays increasingly available to them, as well as to enhance males’ academic success in non-STEM fields such as business.


2021 ◽  
pp. 073112142110286
Author(s):  
Jennifer Ashlock ◽  
Miodrag Stojnic ◽  
Zeynep Tufekci

Cultural processes can reduce self-selection into math and science fields, but it remains unclear how confidence in computer science develops, where women are currently the least represented in STEM (science, technology, engineering, and mathematics). Few studies evaluate both computer skills and self-assessments of skill. In this paper, we evaluate gender differences in efficacy across three STEM fields using a data set of middle schoolers, a particularly consequential period for academic pathways. Even though girls and boys do not significantly differ in terms of math grades and have similar levels of computer skill, the gender gap in computer efficacy is twice as large as the gap for math. We offer support for disaggregation of STEM fields, so the unique meaning making around computing can be addressed.


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